by Michael Lewis Thompson., Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Chemical Engineering, 1996., Includes bibliographical references (p. 259-268).

by Yevgeniya Zemlyakova., Thesis (M.Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2000., Includes bibliographical references (p. 85-86).

by John P. Woods., Thesis (S.M.)--Massachusetts Institute of Technology, System Design & Management Program, 2001., Includes bibliographical references (p. 85).

by Eiichi Tanabe., Thesis (S.M.)--Massachusetts Institute of Technology, System Design & Management Program, 2000., Includes bibliographical references (leaf 75).

The act of designing in architecture is a complex process. Many designers, when probed for reasons to explain their actions, are either unable to answer questions, or provide explanations that are not true descriptions of their actions. Frequently the designer…

by Peter L. Grant., Thesis (S.M.M.O.T.)--Massachusetts Institute of Technology, Sloan School of Management, Management of Technology Program, 2000., Includes bibliographical references (p. 105-108).

This article presents a procedure for constructing a taxonomy of COTS products in the field of Requirements Engineering (RE). The taxonomy and the obtained information reach transcendental benefits to the selection of systems and tools that aid to RE-related actors…

This thesis explores a holistic design process through which architectural elements can engage the dynamic forces of natural phenomena and integrate the spatial and temporal experience of building form with its physical environment. The framework for this exploration is a…

The main characteristics of Darwin's life and work will be examined, as well as the developments which occurred after his death, especially neodarwinism and the synthetic theory of organic change. In which ways the extraordinary progress made in the field…

This paper presents a neuro-fuzzy network where all its parameters can be tuned simultaneously using Genetic Algorithms. The approach combines the merits of fuzzy logic theory, neural networks and genetic algorithms. The proposed neuro-fuzzy network does not require a priori…